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A local and global sensitivity analysis of a mathematical model of coagulation and platelet deposition under flow

机译:流动条件下凝血和血小板沉积数学模型的局部和全局敏感性分析

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摘要

The hemostatic response involves blood coagulation and platelet aggregation to stop blood loss from an injured blood vessel. The complexity of these processes make it difficult to intuit the overall hemostatic response without quantitative methods. Mathematical models aim to address this challenge but are often accompanied by numerous parameters choices and thus need to be analyzed for sensitivity to such choices. Here we use local and global sensitivity analyses to study a model of coagulation and platelet deposition under flow. To relate with clinical assays, we measured the sensitivity of three specific thrombin metrics: lag time, maximum relative rate of generation, and final concentration after 20 minutes. In addition, we varied parameters of three different classes: plasma protein levels, kinetic rate constants, and platelet characteristics. In terms of an overall ranking of the model’s sensitivities, we found that the local and global methods provided similar information. Our local analysis, in agreement with previous findings, shows that varying parameters within 50-150% of baseline values, in a one-at-a-time (OAT) fashion, always leads to significant thrombin generation in 20 minutes. Our global analysis gave a different and novel result highlighting groups of parameters, still varying within the normal 50-150%, that produced little or no thrombin in 20 minutes. Variations in either plasma levels or platelet characteristics, using either OAT or simultaneous variations, always led to strong thrombin production and overall, relatively low output variance. Simultaneous variation in kinetics rate constants or in a subset of all three parameter classes led to the highest overall output variance, incorporating instances with little to no thrombin production. The global analysis revealed multiple parameter interactions in the lag time and final concentration leading to relatively high variance; high variance was also observed in the thrombin generation rate, but parameters attributed to that variance acted independently and additively.
机译:止血反应涉及凝血和血小板凝集,以阻止受伤血管的失血。这些过程的复杂性使得没有定量方法就难以掌握总体的止血反应。数学模型旨在解决这一挑战,但通常伴随着众多的参数选择,因此需要对其敏感性进行分析。在这里,我们使用局部和全局敏感性分析来研究流动下的凝血和血小板沉积模型。与临床检测相关,我们测量了三种特定凝血酶指标的敏感性:滞后时间,最大相对生成速率和20分钟后的最终浓度。此外,我们改变了三种不同类别的参数:血浆蛋白水平,动力学速率常数和血小板特征。从模型敏感性的整体排名来看,我们发现本地和全局方法都提供了类似的信息。我们的本地分析与之前的研究结果一致,表明以一次一次(OAT)的方式在基线值的50-150%之内变化的参数始终会在20分钟内导致大量的凝血酶生成。我们的全局分析给出了不同而新颖的结果,突出了参数组,仍在正常的50-150%之间变化,在20分钟内几乎没有凝血酶产生。血浆水平或血小板特性的变化(使用OAT或同时变化)始终会导致强大的凝血酶产生和总体较低的输出变化。动力学速率常数的同时变化或所有三个参数类别的子集的同时变化导致最高的总输出差异,并包含几乎没有凝血酶产生的情况。全局分析揭示了滞后时间和最终浓度中的多个参数相互作用,导致相对较高的方差。凝血酶产生速率也观察到高变化,但是归因于该变化的参数独立且相加地起作用。

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